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Enregistrement W2604684472 · doi:10.1182/blood.v128.22.1852.1852

Biomarkers of Cytokine Release Syndrome and Neurotoxicity after CD19 CAR-T Cells and Mitigation of Toxicity By Cell Dose

2016· article· en· W2604684472 sur OpenAlexaff
Cameron J. Turtle, Kevin A. Hay, Gust Juliane, Laïla‐Aïcha Hanafi, Daniel Li, Colette Chaney, Shelly Heimfeld, Stanley R. Riddell, David G. Maloney

Notice bibliographique

RevueBlood · 2016
Typearticle
Langueen
DomaineMedicine
ThématiqueCAR-T cell therapy research
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésCytokine release syndromeMedicineCD8ToxicityCD19ImmunologyT cellInternal medicineGastroenterologyChimeric antigen receptorAntigenImmune system

Résumé

récupéré en direct d'OpenAlex

Abstract BACKGROUND: Lymphodepletion chemotherapy with infusion of CD19-specific chimeric antigen receptor (CAR)-modified T cells has produced impressive antitumor responses in CD19+ malignancies in phase 1 clinical trials, but can be associated with cytokine release syndrome (CRS) and neurotoxicity (NT). Our understanding of CRS and NT continues to evolve, and identification of predictive biomarkers and strategies to mitigate these toxicities will facilitate management of patients (pts) undergoing CD19 CAR-T cell therapy in multicenter phase 2 trials. METHODS: We treated 127 adults with ALL, NHL or CLL with anti-CD19 CAR-T cells manufactured from defined CD4+ and CD8+ T cell subsets, formulated in a 1:1 ratio of CD8+:CD4+ CAR+ T cells, and infused at 1 of 3 dose levels (2x105, 2x106 or 2x107 CAR-T cells/kg) following lymphodepletion chemotherapy. The incidence and grade (gr) of CRS and NT, and correlative biomarkers were analyzed through 28 days after infusion. RESULTS: One hundred and nine pts (45 ALL, 47 NHL, 17 CLL) have completed toxicity and response assessment. CRS was graded according to Lee et al (Blood, 2014) and developed in 71% of pts (44% gr 1-2, 22% gr 3-4, 5% gr 5). Pressors were only required in 21% of the pts who developed gr 3-4 CRS. Gr ³3 NT (CTCAE v 4.03) developed in 25% of pts, all of whom developed fever before NT. The median duration of all-cause hospitalization from the start of lymphodepletion was 7, 6, and 10 days for ALL, NHL and CLL pts, respectively. Because we observed short CAR-T cell persistence and an anti-CAR transgene immune response in an initial cohort of pts who received cyclophosphamide (Cy) lymphodepletion, fludarabine (Flu) was added to Cy. This regimen abrogated immune CAR-T cell rejection and dramatically increased early CAR-T cell expansion. We found that infusion of 2x107 CAR-T cells/kg after Cy/Flu was excessively toxic (5/9 developed gr 4-5 CRS), and identified 2x106 CAR-T cells/kg as the maximum tolerated dose in NHL and CLL. Of 26 NHL pts (22 with aggressive histology) treated with Cy/Flu and 2x106 CAR-T cells/kg, the ORR was 73% and the CR rate 46%. No pts had gr 5 CRS or required pressors, and only 12% of pts experienced either gr 3-4 CRS and/or gr ³3 NT. Of 13 CLL pts treated with Cy/Flu and ²2x106 CAR-T cells/kg, the ORR (CT+/-PET) was 85%. In 85%, of pts no marrow disease was detected by flow cytometry. Overall, 38% of pts achieved CR, including 1 pt with residual CLL after the first infusion who achieved CR after a second CAR-T cell infusion. No pts had gr 4-5 CRS or required pressors, and 23% had either gr 3 CRS and/or gr 3 NT. In ALL pts, the incidence of CRS and NT correlated with the percentage of marrow blasts and CAR-T cell dose, and further dose modification was required for pts with ³ 5% marrow blasts, in whom 2x106 CAR-T cells/kg was excessively toxic (56% gr 4-5 CRS; 56% gr 4-5 NT; n=9). CRS and NT was mitigated in pts with ³ 5% blasts by administering 2x105 CAR-T cells/kg resulting in 6% gr 4 CRS, 17% gr 3; and 17% gr 3-4 NT; n=18). Efficacy was not compromised with the T cell dose reduction for the high tumor burden cohort with 89% of pts achieving a bone marrow CR by high-resolution flow cytometry. Detailed characterization of early biomarkers of CRS and NT may provide an opportunity to develop data-driven toxicity grading to facilitate mitigation strategies that could be applied across different centers. Compared to pts with gr 0-2 CRS, those with gr 3-5 CRS had significantly higher peak levels of IL-15, IL-6, IL-2, IFN-g, C-reactive protein, and ferritin in both ALL and NHL cohorts. Importantly, in univariate analysis, the levels of IL-15, IL-6, IL-8, IL-10, soluble TNF receptor type 1, and IFN-g were significantly higher on day 1 after CAR-T cells in pts that developed gr 3-5 CRS, and might be used to identify pts to test early intervention strategies to reduce later severe toxicity. We made similar observations in pts with and without NT. Multivariate analysis of biomarkers including clinical and laboratory parameters (Figure 1) is ongoing. CONCLUSION: CD19 CAR-T cell immunotherapy can be associated with severe CRS and NT. The use of CAR-T cell products with a prescribed 1:1 CD4/CD8 composition identified CAR-T cell doses associated with a reduced incidence and severity of these complications without impairing efficacy. Additional study of correlative biomarkers to inform rational strategies for early intervention will facilitate the safe and effective clinical application of CAR-T cell therapy. Disclosures Turtle: Seattle Genetics: Consultancy, Honoraria; Juno Therapeutics: Consultancy, Honoraria, Research Funding. Li:Juno Therapeutics: Employment, Equity Ownership. Riddell:Juno Therapeutics: Equity Ownership, Patents & Royalties, Research Funding; Cell Medica: Consultancy, Honoraria; Adaptive Biotechnologies: Consultancy, Honoraria. Maloney:Juno Therapeutics: Research Funding; Genentech/Roche: Consultancy, Honoraria.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,003

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,008
Tête enseignante GPT0,237
Écart entre enseignants0,229 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations10
Publié2016
Routes d'admission1
Résumé présentoui

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